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git clone https:/FederatedAI/FATE.git -b v1.7.2 --recurse-submodules --depth=1
# clone compile scripts and move to FATE directory
git clone https:/kanppa/FATE-ARM64.git
cp -r FATE-ARM64/build-arm FATE
cd FATE
git submodule update
2.编译arm64镜像
cd build-arm/docker-build
bash build_cluster_docker.sh all
docker images
编译之后会显示以下镜像
REPOSITORY TAG IMAGE ID CREATED SIZE
federatedai/eggroll 1.7.2-release 532f4f92fcfc 10 days ago 6GB
federatedai/fateboard 1.7.2-release 1b35e811aae1 10 days ago 347MB
federatedai/python 1.7.2-release 0a4a4a2f3e01 10 days ago 5.83GB
federatedai/base-image 1.7.2-release 85f1cc1092e4 10 days ago 5.56GB
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本示例目前仅适用FATE 1.7.2基于eggroll部署的版本,并且没有nn模块。于apple m1 上与 鲲鹏cpu上测试通过
1. 拉取FATE代码
2.编译arm64镜像
编译之后会显示以下镜像
3. docker-compose部署
3.1 替换模版
需要 https:/kanppa/FATE-ARM64 对项目部分文件进行替换
3.2 for apple silicon
如果是用的apple silicon,由于部分指令不通用
需要用 项目中的以下文件对脚本进行替换
并且安装 gtar
3.3 部署
参考 https:/FederatedAI/KubeFATE/blob/v1.7.2/docker-deploy/README_zh.md
4. 测试
进入容器之后
如有疑问可以参考
https:/FederatedAI/FATE/blob/v1.7.2/doc/tutorial/fate_test_tutorial.md
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